{"url":"https://pira-nino.hatenablog.com/entry/causal_inference_implement","height":"190","width":"100%","provider_url":"https://hatena.blog","type":"rich","version":"1.0","blog_title":"\u4e0b\u753a\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u306e\u65e5\u5e38","author_name":"pira_nino","title":"\u50be\u5411\u30b9\u30b3\u30a2\u3092\u7528\u3044\u305f\u56e0\u679c\u63a8\u8ad6\u5165\u9580~\u5b9f\u88c5\u7de8~","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/p/pira_nino/20190714/20190714215603.png","provider_name":"Hatena Blog","blog_url":"https://pira-nino.hatenablog.com/","description":"0. \u306f\u3058\u3081\u306b 1. \u5bfe\u8c61\u30c7\u30fc\u30bf 2. \u5148\u306b\u5404\u624b\u6cd5\u306e\u7d50\u679c\u3092\u78ba\u8a8d 3.\u6e96\u5099 4. \u57fa\u790e\u96c6\u8a08~CM\u3092\u898b\u305f\u4eba\u3068\u898b\u3066\u3044\u306a\u3044\u4eba\u3067\u306e\u76ee\u7684\u5909\u6570\u306e\u5dee~ 5. \u56e0\u679c\u63a8\u8ad6\u306e\u6d41\u308c\u306e\u304a\u3055\u3089\u3044 6. \u50be\u5411\u30b9\u30b3\u30a2\u30e2\u30c7\u30ea\u30f3\u30b0 6.1 \u30e2\u30c7\u30ea\u30f3\u30b0 6.2 \u30c6\u30b9\u30c8 / \u30b3\u30f3\u30c8\u30ed\u30fc\u30eb\u306e\u50be\u5411\u30b9\u30b3\u30a2\u306e\u53ef\u8996\u5316 6.3R\u3067\u306e\u50be\u5411\u30b9\u30b3\u30a2\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u5b9f\u88c5 7. \u50be\u5411\u30b9\u30b3\u30a2\u30de\u30c3\u30c1\u30f3\u30b0 7.1 \u7d50\u69cb\u9762\u5012\u306apython 7.2 R (Matching\u30e9\u30a4\u30d6\u30e9\u30ea) 7.3\u30de\u30c3\u30c1\u30f3\u30b0\u306e\u8a55\u4fa1 8.IPW 9. \u30c0\u30d6\u30eb\u30ed\u30d0\u30b9\u30c8 9.1 \u56de\u5e30\u30e2\u30c7\u30eb 9.2\u30c0\u30d6\u30eb\u30ed\u30d0\u30b9\u30c8 10.Proximity\u30de\u30c3\u30c1\u30f3\u30b0 11.\u6539\u3081\u3066\u3001\u5404\u7a2e\u624b\u6cd5\u306b\u3088\u308b\u63a8\u5b9a\u56e0\u679c\u52b9\u679c\u306e\u307e\u3068\u3081 \u2026","author_url":"https://blog.hatena.ne.jp/pira_nino/","published":"2019-08-04 21:00:00","categories":[],"html":""}